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Measurement and Statistical Analysis Of the Components Of Quality in Statistics

Author

Listed:
  • Anna Alexandra FRUNZA

    (Bucharest Academy of Economic Studies)

  • Vergil VOINEAGU

    (Bucharest Academy of Economic Studies)

Abstract

Nowadays information is of the essence. It is highly desired to be obtained fast and cheap. Unfortunately, the compromise is sometimes made in terms of quality. Thus, there is a high need to emphasise the importance of quality. In order to assess it, there is derived demand to measure and to analyse the components of quality. Whenever talking about quality, there are several challenges that arise in terms of its measurement. There are straight forward measurements for the sources of error and indicators for the process quality, but unfortunately these are seldom used. The lack of funds, time and or software programs often lead to serious flaws of quality that may provide disturbed signals on the markets which often trigger a negative multiplier effect in the economy. The paper focuses on quality measurement techniques and discusses the report for standard quality issued by Eurostat. The focus is on relevance, accuracy, opportunity and punctuality (in terms of time and data), accessibility and clarity, comparability, coherence and costs.

Suggested Citation

  • Anna Alexandra FRUNZA & Vergil VOINEAGU, 2014. "Measurement and Statistical Analysis Of the Components Of Quality in Statistics," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 62(11), pages 11-18, November.
    • Handle: RePEc:rsr:supplm:v:62:y:2014:i:11:p:11-18
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    More about this item

    Keywords

    Accuracy; Coherence; Comparability; Relevance;
    All these keywords.

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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